WO2023108443A1

WO2023108443A1 - Image processing method, smart terminal and storage medium

Info

Publication number: WO2023108443A1
Application number: PCT/CN2021/138110
Authority: WO
Inventors: 孙文君
Original assignee: 深圳传音控股股份有限公司
Priority date: 2021-12-14
Filing date: 2021-12-14
Publication date: 2023-06-22

Abstract

Provided in the present application are an image processing method, a smart terminal and a storage medium. The method comprises the following steps: when preset processing is performed on a captured picture, since a collected preset parameter value of a photographic environment is an accurate preset parameter value, it being possible to accurately determine or generate, according to the accurate preset parameter value, a target parameter value corresponding to the photographic environment; and then performing, on the basis of the target parameter value, preset processing on the captured picture corresponding to the photographic environment, such that the processing effect can be effectively improved.

Description

Image processing method, intelligent terminal and storage medium

technical field

The present application relates to the technical field of image processing, and in particular to an image processing method, an intelligent terminal and a storage medium.

Background technique

During the shooting process, processing the shooting picture can make the image color of the shooting picture closer to the real color of the shooting picture.

During the process of conceiving and implementing the present application, the inventors have found at least the following problems: when processing the photographed images, how to effectively process the photographed images to improve the processing effect is crucial.

The foregoing description is provided to provide general background information and does not necessarily constitute prior art.

technical solution

In view of the above technical problems, the present application provides an image processing method, a smart terminal and a storage medium, which improve the processing effect of the photographed picture.

In order to solve the above technical problems, the present application provides an image processing method, which is applied to a smart terminal, and the image processing method may include:

S1: Determine or generate target parameter values corresponding to the shooting environment according to preset parameter values.

S2: Based on the target parameter value, perform preset processing on the shooting picture corresponding to the shooting environment.

Optionally, the S1 step includes:

A target spectrum corresponding to the shooting environment is determined or generated according to the preset parameter value.

Based on the target spectrum, the target parameter value is determined or generated.

Optionally, the determining or generating the target parameter value based on the target spectrum includes:

Based on a preset mapping relationship between spectra and parameter values, at least one parameter value corresponding to the target spectrum is determined or generated.

The target parameter value is determined or generated from the at least one parameter value.

Optionally, the determining or generating the target parameter value from the at least one parameter value includes:

Get the target shooting brightness.

The target parameter value is determined or generated from the at least one parameter value according to the target shooting brightness.

Optionally, the determining or generating the target parameter value from the at least one parameter value according to the target shooting brightness includes:

Based on a preset mapping relationship between shooting brightness and parameter values, a parameter value corresponding to the target shooting brightness is determined or generated from the at least one parameter value.

The parameter value corresponding to the target shooting brightness is determined as the target parameter value.

Optionally, the determining or generating the target spectrum corresponding to the shooting environment according to the preset parameter value includes:

Determine or generate a spectrum corresponding to the preset parameter value based on the preset mapping relationship between the preset parameter value and the spectrum;

The spectrum corresponding to the preset parameter value is determined as the target spectrum.

Optionally, the method also includes:

Collect the target parameter values corresponding to each spectrum in the full-spectrum scenario.

According to the target parameter values corresponding to the respective spectra, a mapping relationship between the preset spectra and parameter values is determined or generated.

The present application also provides an image processing method, which may include:

S10: Acquiring preset data of a shooting picture.

S20: Based on the preset data, determine or generate a target parameter value corresponding to the shooting environment corresponding to the shooting picture.

S30: Based on the target parameter value, perform preset processing on the shooting picture corresponding to the shooting environment.

Optionally, the S20 includes:

Based on the preset data, determine or generate the target spectrum of the shooting environment.

The target parameter value is determined or generated based on the target spectrum of the shooting environment.

Optionally, the preset data may be original data or a compressed image, etc. The present application uses the preset data as an example to describe the original data and the compressed image.

Optionally, the determining or generating the target spectrum of the shooting environment based on the preset data includes:

Based on the gray pixels in the compressed image in the preset data, determine or generate the preset parameter value corresponding to the target gray pixel in the original data in the preset data.

Based on the preset parameter value corresponding to the target gray pixel, determine or generate the target spectrum of the shooting environment.

Optionally, the determining or generating the preset parameter value corresponding to the target gray pixel in the original data in the preset data based on the gray pixels in the compressed image in the preset data includes:

Based on the gray pixels in the compressed image, the position of the target gray pixel in the original data is determined or generated.

Based on the position of the target gray pixel in the original data, a preset parameter value corresponding to the target gray pixel is determined.

Optionally, the determining or generating the position of the target gray pixel in the original data based on the gray pixels in the compressed image includes:

A size ratio between the original data and the compressed image is determined according to the size of the original data and the size of the compressed image.

Determine or generate the position of the target gray pixel in the original data according to the position of the gray pixel in the compressed image and the size ratio.

Optionally, the determining or generating the target parameter value based on the target spectrum of the shooting environment includes:

The present application also provides an image processing device, and the image processing device may include:

The determining unit is configured to determine or generate target parameter values corresponding to the shooting environment according to preset parameter values.

A processing unit, configured to perform preset processing on the shooting picture corresponding to the shooting environment based on the target parameter value.

Optionally, the determining unit includes a first determining module and a second determining module.

The first determining module is configured to determine or generate a target spectrum corresponding to the shooting environment according to the preset parameter value.

The second determination module is configured to determine or generate the target parameter value based on the target spectrum.

Optionally, the second determination module is specifically configured to determine or generate at least one parameter value corresponding to the target spectrum based on a preset mapping relationship between the spectrum and the parameter value; from the at least one parameter value Determining or generating said target parameter value.

Optionally, the second determining module is specifically configured to acquire target shooting brightness; determine or generate the target parameter value from the at least one parameter value according to the target shooting brightness.

Optionally, the second determining module is specifically configured to determine or generate a parameter value corresponding to the target shooting brightness from the at least one parameter value based on a preset mapping relationship between shooting brightness and parameter values; The parameter value corresponding to the target shooting brightness is determined as the target parameter value.

Optionally, the first determining module is specifically configured to determine or generate a spectrum corresponding to the preset parameter value based on a preset mapping relationship between the preset parameter value and the spectrum; The corresponding spectrum is determined as the target spectrum.

Optionally, the device further includes a collection unit and a generation unit.

The collection unit is configured to collect target parameter values corresponding to each spectrum in a full-spectrum scenario.

The generating unit is configured to determine or generate a mapping relationship between the preset spectra and parameter values according to the target parameter values corresponding to the respective spectra.

The present application also provides an image processing device, which may include:

The obtaining unit is used to obtain preset data of the shooting picture.

The determining unit is configured to determine or generate a target parameter value corresponding to the shooting environment corresponding to the shooting picture based on the preset data.

Optionally, the determining unit includes a first determining module and a second determining module;

The first determining module is configured to determine or generate the target spectrum of the shooting environment based on the preset data.

The second determination module is configured to determine or generate the target parameter value based on the target spectrum of the shooting environment.

Optionally, the first determining module is specifically configured to determine or generate preset parameters corresponding to target gray pixels in the original data in the preset data based on the gray pixels in the compressed image in the preset data value; based on the preset parameter value corresponding to the target gray pixel, determine or generate the target spectrum of the shooting environment.

Optionally, the first determination module is specifically configured to determine or generate the position of the target gray pixel in the original data based on the gray pixels in the compressed image; based on the position of the target gray pixel in the The position in the original data determines the preset parameter value corresponding to the target gray pixel.

Optionally, the first determination module is specifically configured to determine the size ratio between the original data and the compressed image according to the size of the original data and the size of the compressed image; The position of the gray pixel and the size ratio are used to determine or generate the position of the target gray pixel in the original data.

The present application also provides an intelligent terminal, including: a memory and a processor. Optionally, an image processing method program is stored in the memory, and when the image processing method program is executed by the processor, the above-mentioned image processing method is implemented. A step of.

The present application also provides a computer storage medium, where the computer storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above-mentioned image processing method are realized.

As mentioned above, in the image processing method of the present application, when performing preset processing on the shooting picture, since the preset parameter value of the collected shooting environment is an accurate preset parameter value, therefore, according to the accurate preset parameter value, The target parameter value corresponding to the shooting environment can be accurately determined or generated; and based on the target parameter value, preset processing is performed on the shooting picture corresponding to the shooting environment, which can effectively improve the processing effect.

Description of drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description serve to explain the principles of the application. In order to illustrate the technical solution of the present application more clearly, the accompanying drawings that need to be used in the description of the embodiments will be briefly introduced below. Obviously, for those of ordinary skill in the art, the , and other drawings can also be obtained from these drawings.

FIG. 1 is a schematic diagram of a hardware structure of an intelligent terminal implementing various embodiments of the present application;

FIG. 2 is a system architecture diagram of a communication network provided by the present application;

FIG. 3 is a schematic diagram of a hardware structure of a controller provided by the present application;

FIG. 4 is a schematic diagram of a hardware structure of a network node provided by the present application;

FIG. 5 is a schematic diagram of a hardware structure of a network node provided by the present application;

FIG. 6 is a schematic diagram of a hardware structure of a controller provided by the present application;

FIG. 7 is a schematic diagram of a hardware structure of a network node provided by the present application;

FIG. 8 is a schematic flowchart of an image processing method provided by the present application;

FIG. 9 is a schematic flowchart of another image processing method provided by the present application;

FIG. 10 is a schematic structural diagram of an image processing device provided by the present application;

FIG. 11 is a schematic structural diagram of another image processing device provided by the present application.

The realization, functional features and advantages of the present application will be further described in conjunction with the embodiments and with reference to the accompanying drawings. By means of the above drawings, specific embodiments of the present application have been shown, which will be described in more detail hereinafter. These drawings and text descriptions are not intended to limit the scope of the concept of the application in any way, but to illustrate the concept of the application for those skilled in the art by referring to specific embodiments.

Embodiment of this application

Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present application as recited in the appended claims.

It should be noted that, in this document, the term "comprising", "comprising" or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method, article or apparatus comprising a set of elements includes not only those elements, It also includes other elements not expressly listed, or elements inherent in the process, method, article, or device. Without further limitations, an element defined by the statement "comprising a..." does not exclude the presence of other identical elements in the process, method, article, or device that includes the element. In addition, different implementations of the present application Components, features, and elements with the same name in the example may have the same meaning, or may have different meanings, and the specific meaning shall be determined based on the explanation in the specific embodiment or further combined with the context in the specific embodiment.

It should be understood that although the terms first, second, third, etc. may be used herein to describe various information, the information should not be limited to these terms. These terms are only used to distinguish information of the same type from one another. For example, without departing from the scope of this document, first information may also be called second information, and similarly, second information may also be called first information. Depending on the context, the word "if" as used herein may be interpreted as "at" or "when" or "in response to a determination". Furthermore, as used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context indicates otherwise. It should be further understood that the terms "comprising", "comprising" indicate the presence of stated features, steps, operations, elements, components, items, species, and/or groups, but do not exclude one or more other features, steps, operations, The existence, occurrence or addition of an element, component, item, species, and/or group. The terms "or", "and/or", "comprising at least one of the following", etc. used in this application can be interpreted as inclusive, or mean any one or any combination. For example, "including at least one of the following: A, B, C" means "any of the following: A; B; C; A and B; A and C; B and C; A and B and C", another example, " A, B or C" or "A, B and/or C" means "any of the following: A; B; C; A and B; A and C; B and C; A and B and C". Exceptions to this definition will only arise when combinations of elements, functions, steps or operations are inherently mutually exclusive in some way.

It should be understood that although the various steps in the flow charts in the present application are displayed sequentially according to the arrows, these steps are not necessarily executed sequentially in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some of the steps in the figure may include multiple sub-steps or multiple stages, these sub-steps or stages are not necessarily executed at the same time, but may be executed at different times, and the execution order is not necessarily sequential Instead, it may be performed alternately or alternately with at least a part of other steps or sub-steps or stages of other steps.

Depending on the context, the words "if", "if" as used herein may be interpreted as "at" or "when" or "in response to determining" or "in response to detecting". Similarly, depending on the context, the phrases "if determined" or "if detected (the stated condition or event)" could be interpreted as "when determined" or "in response to the determination" or "when detected (the stated condition or event) )" or "in response to detection of (a stated condition or event)".

It should be noted that, in this article, step codes such as S101 and S102 are used, the purpose of which is to express the corresponding content more clearly and concisely, and does not constitute a substantive limitation on the order. Those skilled in the art may, during specific implementation, S102 will be executed first, followed by S101, etc., but these should be within the protection scope of this application.

It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

In the following description, the use of suffixes such as 'module', 'part' or 'unit' for denoting elements is only for facilitating the description of the present application and has no specific meaning by itself. Therefore, 'module', 'part' or 'unit' may be mixedly used.

Smart terminals can be implemented in various forms. For example, the intelligent terminal described in this application may include such as mobile phone, tablet computer, notebook computer, palmtop computer, PDA (Personal Digital Assistant, personal digital assistant), PMP (Portable Media Player, portable media player), navigation device, Smart terminals such as wearable devices, smart bracelets, and pedometers, as well as fixed terminals such as digital TVs and desktop computers.

In the subsequent description, a smart terminal will be taken as an example, and those skilled in the art will understand that, in addition to elements specially used for mobile purposes, the configurations according to the embodiments of the present application can also be applied to fixed-type terminals.

Please refer to FIG. 1, which is a schematic diagram of the hardware structure of a smart terminal implementing various embodiments of the present application. The smart terminal 100 may include: an RF (Radio Frequency, radio frequency) unit 101, a WiFi module 102, an audio output unit 103, an /V (audio/video) input unit 104, sensor 105, display unit 106, user input unit 107, interface unit 108, memory 109, processor 110, and power supply 111 and other components. Those skilled in the art can understand that the smart terminal structure shown in Figure 1 does not constitute a limitation on the smart terminal, and the smart terminal may include more or less components than shown in the figure, or combine certain components, or different components layout.

The following is a specific introduction to each component of the smart terminal in conjunction with Figure 1:

The radio frequency unit 101 can be used for sending and receiving information or receiving and sending signals during a call. Specifically, after receiving the downlink information of the base station, it is processed by the processor 110; in addition, the uplink data is sent to the base station. Generally, the radio frequency unit 101 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like. In addition, the radio frequency unit 101 can also communicate with the network and other devices through wireless communication. The above wireless communication can use any communication standard or protocol, including but not limited to GSM (Global System of Mobile communication, Global System for Mobile Communications), GPRS (General Packet Radio Service, General Packet Radio Service), CDMA2000 (Code Division Multiple Access 2000 , Code Division Multiple Access 2000), WCDMA (Wideband Code Division Multiple Access, Wideband Code Division Multiple Access), TD-SCDMA (Time Division-Synchronous Code Division Multiple Access, Time Division Synchronous Code Division Multiple Access), FDD-LTE (Frequency Division Duplexing-Long Term Evolution, frequency division duplex long-term evolution), TDD-LTE (Time Division Duplexing-Long Term Evolution, time-division duplex long-term evolution) and 5G, etc.

WiFi is a short-distance wireless transmission technology. Through the WiFi module 102, the smart terminal can help users send and receive emails, browse web pages, and access streaming media, etc., and it provides users with wireless broadband Internet access. Although Fig. 1 shows the WiFi module 102, it can be understood that it is not an essential component of the smart terminal, and can be completely omitted as required without changing the essence of the invention.

The audio output unit 103 can store the information received by the radio frequency unit 101 or the WiFi module 102 or stored in the memory 109 when the smart terminal 100 is in a call signal receiving mode, a call mode, a recording mode, a voice recognition mode, a broadcast receiving mode, or the like. The audio data is converted into an audio signal and output as sound. Moreover, the audio output unit 103 may also provide audio output related to specific functions performed by the smart terminal 100 (for example, call signal receiving sound, message receiving sound, etc.). The audio output unit 103 may include a speaker, a buzzer, and the like.

The A/V input unit 104 is used to receive audio or video signals. The A/V input unit 104 may include a GPU (Graphics Processing Unit, graphics processor) 1041 and a microphone 1042, and the graphics processor 1041 is used for still pictures obtained by an image capture device (such as a camera) in video capture mode or image capture mode The image data of the video is processed. The processed image frames may be displayed on the display unit 106 . The image frames processed by the graphics processor 1041 may be stored in the memory 109 (or other storage media) or sent via the radio frequency unit 101 or the WiFi module 102 . The microphone 1042 can receive sound (audio data) via the microphone 1042 in a phone call mode, a recording mode, a voice recognition mode, and the like operating modes, and can process such sound as audio data. The processed audio (voice) data can be converted into a format transmittable to a mobile communication base station via the radio frequency unit 101 for output in case of a phone call mode. The microphone 1042 may implement various types of noise cancellation (or suppression) algorithms to cancel (or suppress) noise or interference generated in the process of receiving and transmitting audio signals.

The smart terminal 100 also includes at least one sensor 105, such as a light sensor, a motion sensor, and other sensors. Optionally, the light sensor includes an ambient light sensor and a proximity sensor. Optionally, the ambient light sensor can adjust the brightness of the display panel 1061 according to the brightness of the ambient light, and the proximity sensor can turn off the display when the smart terminal 100 moves to the ear. panel 1061 and/or backlight. As a kind of motion sensor, the accelerometer sensor can detect the magnitude of acceleration in various directions (generally three axes), and can detect the magnitude and direction of gravity when it is stationary, and can be used for applications that recognize the posture of mobile phones (such as horizontal and vertical screen switching, related Games, magnetometer attitude calibration), vibration recognition related functions (such as pedometer, tap), etc.; as for mobile phones, fingerprint sensors, pressure sensors, iris sensors, molecular sensors, gyroscopes, barometers, hygrometers, Other sensors such as thermometers and infrared sensors will not be described in detail here.

The display unit 106 is used to display information input by the user or information provided to the user. The display unit 106 may include a display panel 1061, and the display panel 1061 may be configured in the form of LCD (Liquid Crystal Display, liquid crystal display), OLED (Organic Light-Emitting Diode, organic light-emitting diode), and the like.

The user input unit 107 can be used to receive input numbers or character information, and generate key signal input related to user settings and function control of the smart terminal. Optionally, the user input unit 107 may include a touch panel 1071 and other input devices 1072 . The touch panel 1071, also referred to as a touch screen, can collect touch operations of the user on or near it (for example, the user uses any suitable object or accessory such as a finger or a stylus on the touch panel 1071 or near the touch panel 1071). operation), and drive the corresponding connection device according to the preset program. The touch panel 1071 may include two parts, a touch detection device and a touch controller. Optionally, the touch detection device detects the user's touch orientation, detects the signal brought by the touch operation, and transmits the signal to the touch controller; the touch controller receives touch information from the touch detection device and converts it into contact coordinates , and then sent to the processor 110, and can receive the command sent by the processor 110 and execute it. In addition, the touch panel 1071 can be implemented in various types such as resistive, capacitive, infrared, and surface acoustic wave. In addition to the touch panel 1071 , the user input unit 107 may also include other input devices 1072 . Optionally, other input devices 1072 may include, but are not limited to, one or more of physical keyboards, function keys (such as volume control buttons, switch buttons, etc.), trackballs, mice, joysticks, etc., which are not specifically described here. limited.

Optionally, the touch panel 1071 may cover the display panel 1061. When the touch panel 1071 detects a touch operation on or near it, it transmits to the processor 110 to determine the type of the touch event, and then the processor 110 determines the touch event according to the touch event. The corresponding visual output is provided on the display panel 1061 . Although in FIG. 1, the touch panel 1071 and the display panel 1061 are used as two independent components to realize the input and output functions of the smart terminal, in some embodiments, the touch panel 1071 and the display panel 1061 can be integrated. The implementation of the input and output functions of the smart terminal is not specifically limited here.

The interface unit 108 is used as an interface through which at least one external device can be connected with the smart terminal 100 . For example, an external device may include a wired or wireless headset port, an external power (or battery charger) port, a wired or wireless data port, a memory card port, a port for connecting a device with an identification module, audio input/output (I/O) ports, video I/O ports, headphone ports, and more. The interface unit 108 can be used to receive input from an external device (for example, data information, power, etc.) transfer data between devices.

The memory 109 can be used to store software programs as well as various data. The memory 109 can mainly include a storage program area and a storage data area. Optionally, the storage program area can store an operating system, at least one function required application program (such as a sound playback function, an image playback function, etc.) etc.; the storage data area can be Store data (such as audio data, phone book, etc.) created according to the use of the mobile phone. In addition, the memory 109 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage devices.

The processor 110 is the control center of the smart terminal, and uses various interfaces and lines to connect various parts of the whole smart terminal, by running or executing software programs and/or modules stored in the memory 109, and calling data stored in the memory 109 , execute various functions of the smart terminal and process data, so as to monitor the smart terminal as a whole. The processor 110 may include one or more processing units; preferably, the processor 110 may integrate an application processor and a modem processor. Optionally, the application processor mainly processes operating systems, user interfaces, and application programs, etc. The demodulation processor mainly handles wireless communication. It can be understood that the foregoing modem processor may not be integrated into the processor 110 .

The smart terminal 100 can also include a power supply 111 (such as a battery) for supplying power to various components. Preferably, the power supply 111 can be logically connected to the processor 110 through a power management system, so as to manage charging, discharging, and power consumption through the power management system. and other functions.

Although not shown in FIG. 1 , the smart terminal 100 may also include a Bluetooth module, etc., which will not be repeated here.

In order to facilitate the understanding of the present application, the following describes the communication network system on which the smart terminal of the present application is based.

Please refer to Fig. 2, Fig. 2 is a kind of communication network system architecture diagram that the present application provides, and this communication network system is the LTE system of general mobile communication technology, and this LTE system comprises the UE (User Equipment, user equipment) 201 that communication connects sequentially , E-UTRAN (Evolved UMTS Terrestrial Radio Access Network, Evolved UMTS Terrestrial Radio Access Network) 202, EPC (Evolved Packet Core, Evolved Packet Core Network) 203 and the operator's IP service 204.

Optionally, the UE 201 may be the above-mentioned terminal 100, which will not be repeated here.

E-UTRAN 202 includes eNodeB 2021 and other eNodeB 2022 and so on. Optionally, the eNodeB 2021 can be connected to other eNodeB 2022 through a backhaul (for example, X2 interface), the eNodeB 2021 is connected to the EPC 203 , and the eNodeB 2021 can provide access from the UE 201 to the EPC 203 .

EPC203 may include MME (Mobility Management Entity, Mobility Management Entity) 2031, HSS (Home Subscriber Server, Home Subscriber Server) 2032, other MME2033, SGW (Serving Gate Way, Serving Gateway) 2034, PGW (PDN Gate Way, packet data Network Gateway) 2035 and PCRF (Policy and Charging Rules Function, Policy and Charging Functional Entity) 2036, etc. Optionally, MME2031 is a control node that processes signaling between UE201 and EPC203, and provides bearer and connection management. HSS2032 is used to provide some registers to manage functions such as home location register (not shown in the figure), and save some user-specific information about service features and data rates. All user data can be sent through SGW2034, PGW2035 can provide UE 201 IP address allocation and other functions, PCRF2036 is the policy and charging control policy decision point of service data flow and IP bearer resources, it is the policy and charging execution function A unit (not shown) selects and provides available policy and charging control decisions.

The IP service 204 may include Internet, Intranet, IMS (IP Multimedia Subsystem, IP Multimedia Subsystem) or other IP services.

Although the LTE system is used as an example above, those skilled in the art should know that this application is not only applicable to the LTE system, but also applicable to other wireless communication systems, such as GSM, CDMA2000, WCDMA, TD-SCDMA and future new wireless communication systems. The network system (such as 5G), etc., is not limited here.

FIG. 3 is a schematic diagram of a hardware structure of a controller 140 provided in the present application. The controller 140 includes: a memory 1401 and a processor 1402, the memory 1401 is used to store program instructions, and the processor 1402 is used to call the program instructions in the memory 1401 to execute the steps performed by the controller in the first method embodiment above, and its implementation principle and beneficial effects are similar, and will not be repeated here.

Optionally, the foregoing controller further includes a communication interface 1403 , and the communication interface 1403 may be connected to the processor 1402 through a bus 1404 . The processor 1402 can control the communication interface 1403 to implement the receiving and sending functions of the controller 140 .

FIG. 4 is a schematic diagram of a hardware structure of a network node 150 provided in the present application. The network node 150 includes: a memory 1501 and a processor 1502, the memory 1501 is used to store program instructions, and the processor 1502 is used to call the program instructions in the memory 1501 to execute the steps performed by the first node in the first method embodiment above, and its implementation principle and beneficial effects are similar, and will not be repeated here.

Optionally, the foregoing controller further includes a communication interface 1503 , and the communication interface 1503 may be connected to the processor 1502 through a bus 1504 . The processor 1502 can control the communication interface 1503 to realize the functions of receiving and sending of the network node 150 .

FIG. 5 is a schematic diagram of a hardware structure of a network node 160 provided in the present application. The network node 160 includes: a memory 1601 and a processor 1602, the memory 1601 is used to store program instructions, and the processor 1602 is used to call the program instructions in the memory 1601 to execute the steps performed by the intermediate node and the tail node in the first method embodiment above, The implementation principles and beneficial effects are similar, and will not be repeated here.

Optionally, the foregoing controller further includes a communication interface 1603 , and the communication interface 1603 may be connected to the processor 1602 through a bus 1604 . The processor 1602 can control the communication interface 1603 to realize the functions of receiving and sending of the network node 160 .

FIG. 6 is a schematic diagram of a hardware structure of a controller 170 provided in the present application. The controller 170 includes: a memory 1701 and a processor 1702, the memory 1701 is used to store program instructions, and the processor 1702 is used to call the program instructions in the memory 1701 to execute the steps performed by the controller in the second method embodiment above, and its implementation principle and beneficial effects are similar, and will not be repeated here.

FIG. 7 is a schematic diagram of a hardware structure of a network node 180 provided in the present application. The network node 180 includes: a memory 1801 and a processor 1802, the memory 1801 is used to store program instructions, and the processor 1802 is used to invoke the program instructions in the memory 1801 to execute the steps performed by the head node in the second method embodiment above, and its implementation principle and beneficial effects are similar, and will not be repeated here.

The above-mentioned integrated modules implemented in the form of software function modules can be stored in a computer-readable storage medium. The above-mentioned software function modules are stored in a storage medium, and include several instructions to enable a computer device (which may be a personal computer, server, or network device, etc.) or a processor (English: processor) to execute the methods of the various embodiments of the present application. partial steps.

In the above embodiments, all or part of them may be implemented by software, hardware, firmware or any combination thereof. When implemented using software, it may be implemented in whole or in part in the form of a computer program product. A computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on the computer, the processes or functions according to the present application are generated in whole or in part. A computer can be a general purpose computer, special purpose computer, computer network, or other programmable device. Computer instructions may be stored in or transmitted from one computer-readable storage medium to another computer-readable storage medium, e.g. Coaxial cable, optical fiber, digital subscriber line

(DSL)) or wirelessly (such as infrared, wireless, microwave, etc.) to another website site, computer, server, or data center. The computer-readable storage medium may be any available medium that can be accessed by a computer, or a data storage device such as a server, a data center, etc. integrated with one or more available media. Available media may be magnetic media (eg, floppy disk, hard disk, magnetic tape), optical media (eg, DVD), or semiconductor media (eg, solid state disk, SSD), etc.

Based on the above hardware structure of the smart terminal and the communication network system, various embodiments of the present application are proposed.

The image processing method provided in the present application can be applied to the scene of image shooting, for example, the scene of computing and shooting. Taking the computing camera scene as an example, when the image of the shooting screen is obtained by computing the camera, in order to make the image color of the shooting screen closer to the real color of the shooting screen, during the image shooting process, it is necessary to perform preset processing on the shooting screen so that the shooting The image is as close as possible to the real image of the shooting screen.

When performing preset processing on the shooting images, the inventors have found at least the following problems: when processing the shooting images, how to effectively process the shooting images to improve the processing effect is very important. Therefore, in order to solve this problem, the present application provides an image processing method, and proposes various embodiments of the present application based on the above-mentioned intelligent terminal hardware structure and communication network system. Next, the image processing method provided by the present application will be described in detail through specific embodiments. It can be understood that the following specific embodiments may be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments.

Embodiment one

FIG. 8 is a schematic flowchart of an image processing method provided by the present application. The image processing method may be executed by software and/or hardware devices. For example, the hardware device may be an image processing device, and the image processing device may be an intelligent terminal. Optionally, as shown in Figure 8, the image processing method may include:

Optionally, the preset parameter value may be a preset parameter value of the shooting environment under the collected grayscale pixels.

Optionally, when collecting the preset parameter values of the shooting environment under the grayscale pixels, an equalizing sheet can be attached to the camera module. Due to the function of the uniformizing sheet, the preset parameter values collected are grayscale Pixel, which is the preset parameter value in a neutral color environment.

Optionally, the camera may include a module on which a homogenizing sheet is attached, so that the preset parameter values of the shooting environment under the gray-scale pixels can be collected, and subsequent parameters based on the preset parameters of the shooting environment under the gray-scale pixels can be collected. value, carry out preset processing on the picture of the shooting environment, and determine or generate the target image of the shooting picture based on the preset processing result; the camera module can also include two modules, one of which is attached with a uniform light sheet, and the other There is no uniformity sheet attached to a module, so that the preset parameter value of the shooting environment under the grayscale pixel is collected based on the module with the uniformity sheet attached, and the preset parameter value of the shooting environment under the grayscale pixel is subsequently collected based on the preset parameter value of the grayscale pixel. Perform preset processing on the pictures in the shooting environment; another module that is not attached with a uniform film can also determine or generate the target image of the shooting picture based on the preset processing results, which can be set according to actual needs.

Since the preset parameter value of the shooting environment under the collected grayscale pixels is an accurate preset parameter value, the target parameter value corresponding to the shooting environment can be accurately determined or generated according to the accurate preset parameter value. Optionally, when determining or generating the target parameter value corresponding to the shooting environment according to the preset parameter value, first determine or generate the target spectrum corresponding to the shooting environment according to the preset parameter value; then determine or generate the target parameter based on the target spectrum value, so as to obtain the target parameter value corresponding to the shooting environment.

Optionally, when determining or generating the target spectrum corresponding to the shooting environment according to the preset parameter value, the spectrum corresponding to the preset parameter value can be determined or generated based on the mapping relationship between the preset preset parameter value and the spectrum ; and determine the spectrum corresponding to the preset parameter value as the target spectrum.

Optionally, when acquiring the preset mapping relationship between the preset parameter value and the spectrum, the mapping relationship between the preset preset parameter value and the spectrum can be received from other electronic devices, or can be obtained from local storage The mapping relationship between the preset preset parameter value and the spectrum can also be obtained in other ways, and can be specifically set according to actual needs.

After the target spectrum corresponding to the shooting environment is determined, the target parameter value can be determined or generated based on the target spectrum. Optionally, when determining or generating the target parameter value based on the target spectrum, at least one parameter value corresponding to the target spectrum can be determined or generated based on the preset mapping relationship between the spectrum and the parameter value; from the at least one parameter value Determine or generate target parameter values.

Optionally, when obtaining the mapping relationship between the spectrum and the parameter value, the preset mapping relationship between the spectrum and the parameter value can be received from other electronic devices, or the preset spectrum and the parameter value can be retrieved from the local storage The mapping relationship between the spectrum and the parameter value can also be obtained in other ways, which can be set according to actual needs.

Optionally, when determining or generating the mapping relationship between spectra and parameter values, you can first collect the target parameter values corresponding to each spectrum in a full-spectrum scenario; in this way, after collecting the target parameter values corresponding to each spectrum, you can According to the target parameter value corresponding to each spectrum, determine or generate the mapping relationship between the preset spectrum and the parameter value. Optionally, when collecting the target parameter values corresponding to each spectrum, the grayscale images under each spectrum can be taken, and according to the different shooting brightness when shooting the grayscale images, and the neutral color area of the final imaging picture satisfies R/G =B/G, so as to obtain at least one parameter value corresponding to each spectrum, so that the mapping relationship between the spectrum and the parameter value can be determined or generated based on the at least one parameter value corresponding to each spectrum.

In combination with the above description, considering that when determining or generating the mapping relationship between the spectrum and the parameter value, the factor of shooting brightness is taken into account, optionally, when determining or generating the target parameter value from at least one parameter value, the target parameter value can be obtained first. Shooting brightness, the target shooting brightness can be understood as an expected shooting brightness when shooting an image, and a target parameter value is determined or generated from at least one parameter value according to the target shooting brightness.

Considering that during the acquisition process, the grayscale image is taken based on different shooting brightness, and different shooting brightness corresponds to different target parameter values, optionally, according to the target shooting brightness, determine or generate the target parameter from at least one parameter value value, the parameter value corresponding to the target shooting brightness can be determined or generated from at least one parameter value based on the preset mapping relationship between the shooting brightness and the parameter value; and the parameter value corresponding to the target shooting brightness can be determined as the target parameter value, so as to obtain the target parameter value corresponding to the shooting environment. In addition, the color temperature value corresponding to the shooting environment may also be determined according to the target parameter value corresponding to the shooting environment.

After the target parameter value corresponding to the shooting environment is acquired, preset processing can be performed on the shooting picture corresponding to the shooting environment based on the target parameter value, that is, the following S3 is executed:

It can be seen that in this application, when the preset processing is performed on the shooting picture, since the preset parameter value of the collected shooting environment is an accurate preset parameter value, therefore, according to the accurate preset parameter value, it can be accurately The target parameter value corresponding to the shooting environment is determined or generated; and then based on the target parameter value, preset processing is performed on the shooting picture corresponding to the shooting environment, which can effectively improve the processing effect.

Embodiment two

Fig. 9 is a schematic flow chart of another image processing method provided by the present application. The image processing method can also be executed by software and/or hardware devices. For example, the hardware device can be an image processing device, and the image processing device can be an intelligent terminal. . Optionally, as shown in Figure 9, the image processing method may include:

S10: Acquiring preset data of a shooting picture.

Optionally, the photographing picture may be a photographing picture including gray pixels; the preset data may be original data or compressed images, and the present application uses the preset data as examples for the original data and compressed images.

Optionally, the original data may be raw data, and the compressed image may be a jpeg image.

Optionally, when obtaining the preset data of the shooting picture, the preset data of the shooting picture may be received from other electronic devices, or may be searched and obtained from the local storage, or the preset data of the shooting picture may be obtained in other ways The preset data of the shooting picture can be set according to actual needs.

Optionally, the photographed picture including gray pixels may be a picture in which a standard object representing gray pixels such as a color card or a gray card is placed. By setting the gray pixels, the advantage is that the shooting picture can include enough neutral colors, so that when determining the target parameter value corresponding to the shooting environment corresponding to the shooting picture, the target parameter value corresponding to the shooting environment can be accurately determined , that is, execute the following S20:

S20: Based on the preset data, determine or generate a target parameter value corresponding to the shooting environment corresponding to the shooting frame.

Optionally, when determining or generating the target parameter value corresponding to the shooting environment corresponding to the shooting screen based on the preset data, the target spectrum of the shooting environment can be determined or generated based on the preset data; and then determined based on the target spectrum of the shooting environment Or generate target parameter values.

Optionally, when determining or generating the target spectrum of the shooting environment corresponding to the shooting picture based on the preset data, considering that the gray pixels in the compressed image can be quickly located, the gray pixels in the compressed image in the preset data can be firstly The gray pixels determine or generate preset parameter values corresponding to the target gray pixels in the raw data in the preset data; and then determine or generate the target spectrum of the shooting environment based on the preset parameter values corresponding to the target gray pixels.

Optionally, when determining or generating the preset parameter value corresponding to the target gray pixel in the original data based on the gray pixels in the compressed image, first determine or generate the value of the target gray pixel in the original data based on the gray pixels in the compressed image position, and then based on the position of the target gray pixel in the original data, determine the preset parameter value corresponding to the target gray pixel, so as to obtain the preset parameter value corresponding to the target gray pixel.

Optionally, when determining or generating the position of the target gray pixel in the original data based on the gray pixels in the compressed image, the size ratio between the original data and the compressed image can be determined first according to the size of the original data and the size of the compressed image; Then, according to the position and size ratio of the gray pixels in the compressed image, the position of the gray pixels in the original image is determined. In order to distinguish the gray pixels in the compressed image, the gray pixels in the original data can be recorded here as the target gray pixels, so that Determine or generate the location of the gray pixel of interest in the raw data.

After the target spectrum of the shooting environment is determined or generated based on the raw data and the compressed image, the target parameter value can be determined or generated based on the target spectrum of the shooting environment. Optionally, when determining or generating the target parameter value based on the target spectrum of the shooting environment, at least one parameter value corresponding to the target spectrum can be determined or generated based on the preset mapping relationship between the spectrum and the parameter value; from at least one Determine or generate target parameter values from parameter values.

Considering that during the acquisition process, the grayscale image is taken based on different shooting brightness, and different shooting brightness corresponds to different target parameter values, optionally, according to the target shooting brightness, determine or generate the target parameter from at least one parameter value value, the parameter value corresponding to the target shooting brightness can be determined or generated from at least one parameter value based on the preset mapping relationship between the shooting brightness and the parameter value; and the parameter value corresponding to the target shooting brightness can be determined as the target parameter value, so as to obtain the target parameter value corresponding to the shooting environment.

After the target parameter value corresponding to the shooting environment is acquired, preset processing can be performed on the shooting picture corresponding to the shooting environment based on the target parameter value, that is, the following S30 is executed:

It can be seen that in this application, when the preset processing is performed on the shooting picture, the preset data of the shooting picture is obtained; since the preset data contains enough neutral color information, based on the preset data of the shooting picture, The target parameter value corresponding to the shooting environment corresponding to the shooting frame can be accurately determined or generated; and then based on the target parameter value, preset processing is performed on the shooting frame corresponding to the shooting environment, which can effectively improve the processing effect.

Based on the above-mentioned embodiment shown in FIG. 8 or FIG. 9, based on the target parameter value, preset processing is performed on the shooting picture corresponding to the shooting environment, and after the preset processing result is obtained, based on the preset processing result, it is also possible to determine or generate Capture an image of the screen. Considering that the technical solution of the present application can effectively improve the processing effect, based on the preset processing result, the determined or generated image of the shooting frame can be closer to the real image of the shooting frame, thereby improving the accuracy of the image.

Embodiment three

FIG. 10 is a schematic structural diagram of an image processing device 1000 provided in the present application. Optionally, as shown in FIG. 10 , the image processing device 1000 may include:

The determining unit 1001 is configured to determine or generate target parameter values corresponding to the shooting environment according to preset parameter values.

The processing unit 1002 is configured to perform preset processing on the shooting picture corresponding to the shooting environment based on the target parameter value.

Optionally, the determining unit 1001 includes a first determining module and a second determining module.

The first determination module is configured to determine or generate a target spectrum corresponding to the shooting environment according to preset parameter values.

The second determining module is configured to determine or generate target parameter values based on the target spectrum.

Optionally, the second determination module is specifically configured to determine or generate at least one parameter value corresponding to the target spectrum based on the preset mapping relationship between the spectrum and the parameter value; determine or generate the target parameter value from at least one parameter value .

Optionally, the second determining module is specifically configured to acquire target shooting brightness; determine or generate a target parameter value from at least one parameter value according to the target shooting brightness.

Optionally, the second determination module is specifically configured to determine or generate a parameter value corresponding to the target shooting brightness from at least one parameter value based on a preset mapping relationship between the shooting brightness and the parameter value; The parameter value is determined as the target parameter value.

Optionally, the first determining module is specifically configured to determine or generate a spectrum corresponding to a preset parameter value based on a preset mapping relationship between a preset parameter value and a spectrum; determine the spectrum corresponding to a preset parameter value as target spectrum.

The collection unit is used to collect target parameter values corresponding to each spectrum in a full-spectrum scenario.

The generating unit is configured to determine or generate a preset mapping relationship between spectra and parameter values according to target parameter values corresponding to each spectrum.

The image processing device 1000 shown in this application can execute the technical solution of the image processing method in the above-mentioned embodiments, and its realization principle and beneficial effect are similar to those of the image processing method. Please refer to the realization principle and beneficial effect of the image processing method. Beneficial effects are not repeated here.

Embodiment four

FIG. 11 is a schematic structural diagram of another image processing device 1100 provided by the present application. Optionally, please refer to FIG. 11. The image processing device 1100 may include:

The acquiring unit 1101 is configured to acquire preset data of a shooting picture.

The determining unit 1102 is configured to determine or generate a target parameter value corresponding to a shooting environment corresponding to a shooting frame based on preset data.

The processing unit 1103 is configured to perform preset processing on the shooting picture corresponding to the shooting environment based on the target parameter value.

Optionally, the determining unit 1102 includes a first determining module and a second determining module;

The first determination module is configured to determine or generate the target spectrum of the shooting environment based on preset data.

The second determining module is configured to determine or generate target parameter values based on the target spectrum of the shooting environment.

Optionally, the first determining module is specifically configured to determine or generate a preset parameter value corresponding to a target gray pixel in the original data in the preset data based on the gray pixels in the compressed image in the preset data; The target spectrum of the shooting environment is determined or generated corresponding to the preset parameter value.

Optionally, the first determination module is specifically configured to determine or generate the position of the target gray pixel in the original data based on the gray pixels in the compressed image; and determine the corresponding position of the target gray pixel based on the position of the target gray pixel in the original data Default parameter value.

Optionally, the first determination module is specifically configured to determine the size ratio between the original data and the compressed image according to the size of the original data and the size of the compressed image; determine or generate The location of the target gray pixel in the raw data.

The image processing device 1100 shown in this application can execute the technical solution of the image processing method in the above-mentioned embodiment, and its realization principle and beneficial effect are similar to those of the image processing method. Please refer to the realization principle and beneficial effect of the image processing method. Beneficial effects are not repeated here.

The present application also provides an intelligent terminal. The intelligent terminal includes a memory and a processor. The image processing method program is stored in the memory. When the image processing method program is executed by the processor, the steps of the image processing method in any of the above embodiments are implemented.

The present application also provides a computer-readable storage medium, on which an image processing method program is stored, and when the image processing method program is executed by a processor, the steps of the image processing method in any of the foregoing embodiments are implemented.

The embodiments of the smart terminal and the computer-readable storage medium provided in this application may contain all the technical features of any of the above-mentioned image processing method embodiments. No more details.

The present application also provides a computer program product, the computer program product includes computer program code, and when the computer program code is run on the computer, the computer is made to execute the methods in the above various possible implementation manners.

The present application also provides a chip, including a memory and a processor, the memory is used to store a computer program, and the processor is used to call and run the computer program from the memory, so that the device installed with the chip executes the methods in the above various possible implementation modes .

It can be understood that the above scenario is only an example, and does not constitute a limitation on the application scenario of the technical solution provided in this application, and the technical solution of this application can also be applied to other scenarios. For example, those skilled in the art know that with the evolution of the system architecture and the emergence of new business scenarios, the technical solutions provided in this application are also applicable to similar technical problems.

The serial numbers of the above application are for description only, and do not represent the advantages and disadvantages of the embodiments.

The steps in the method of the present application can be adjusted, combined and deleted according to actual needs.

Units in the device of the present application can be combined, divided and deleted according to actual needs.

In this application, descriptions of the same or similar terms, concepts, technical solutions and/or application scenarios are generally only described in detail when they appear for the first time, and when they appear repeatedly later, for the sake of brevity, they are generally not repeated. When understanding the technical solutions and other contents of the present application, for the same or similar term concepts, technical solutions and/or application scenario descriptions that are not described in detail later, you can refer to the previous relevant detailed descriptions.

In this application, the description of each embodiment has its own emphasis. For the parts that are not detailed or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.

The various technical features of the technical solution of the present application can be combined arbitrarily. For the sake of concise description, all possible combinations of the various technical features in the above-mentioned embodiments are not described. However, as long as there is no contradiction in the combination of these technical features, all It should be regarded as the scope described in this application.

Through the description of the above embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus a necessary general-purpose hardware platform, and of course also by hardware, but in many cases the former is better implementation. Based on this understanding, the technical solution of the present application can be embodied in the form of a software product in essence or in other words, the part that contributes to the prior art, and the computer software product is stored in one of the above storage media (such as ROM/RAM, magnetic CD, CD), including several instructions to make a terminal device (which may be a mobile phone, computer, server, controlled terminal, or network device, etc.) execute the method of each embodiment of the present application.

In the above embodiments, all or part of them may be implemented by software, hardware, firmware or any combination thereof. When implemented using software, it may be implemented in whole or in part in the form of a computer program product. A computer program product comprises one or at least one computer instruction. When the computer program instructions are loaded and executed on the computer, the processes or functions according to the present application are generated in whole or in part. The computer can be a general purpose computer, special purpose computer, a computer network, or other programmable apparatus. Computer instructions may be stored in or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, computer instructions may be transmitted from a website site, computer, server or data center by wire (such as Coaxial cable, optical fiber, digital subscriber line) or wireless (such as infrared, wireless, microwave, etc.) to another website site, computer, server or data center. The computer-readable storage medium may be any available medium that can be accessed by a computer, or a data storage device such as a server, a data center, etc. integrated with one or at least one available medium. Usable media may be magnetic media, (eg, floppy disk, memory disk, magnetic tape), optical media (eg, DVD), or semiconductor media (eg, Solid State Disk (SSD)), among others.

The above are only preferred embodiments of the present application, and are not intended to limit the patent scope of the present application. All equivalent structures or equivalent process transformations made by using the description of the application and the accompanying drawings are directly or indirectly used in other related technical fields. , are all included in the patent protection scope of the present application in the same way.

Claims

A kind of image processing method, wherein, comprise the following steps:

S1: Determine or generate target parameter values corresponding to the shooting environment according to preset parameter values;

S2: Based on the target parameter value, perform preset processing on the shooting picture corresponding to the shooting environment.
The method according to claim 1, wherein the S1 step comprises:

Determine or generate a target spectrum corresponding to the shooting environment according to the preset parameter value;

Based on the target spectrum, the target parameter value is determined or generated.
The method according to claim 2, wherein said determining or generating said target parameter value based on said target spectrum comprises:

Determine or generate at least one parameter value corresponding to the target spectrum based on a preset mapping relationship between the spectrum and the parameter value;

The target parameter value is determined or generated from the at least one parameter value.
The method of claim 3, wherein said determining or generating said target parameter value from said at least one parameter value comprises:

Obtain the shooting brightness of the target;

The target parameter value is determined or generated from the at least one parameter value according to the target shooting brightness.
The method according to claim 4, wherein said determining or generating said target parameter value from said at least one parameter value according to said target shooting brightness comprises:

Based on a preset mapping relationship between shooting brightness and parameter values, determine or generate a parameter value corresponding to the target shooting brightness from the at least one parameter value;

The parameter value corresponding to the target shooting brightness is determined as the target parameter value.
The method according to any one of claims 2 to 5, wherein the determining or generating the target spectrum corresponding to the shooting environment according to the preset parameter value includes:

Determine or generate a spectrum corresponding to the preset parameter value based on the preset mapping relationship between the preset parameter value and the spectrum;

The spectrum corresponding to the preset parameter value is determined as the target spectrum.
The method according to any one of claims 3 to 5, wherein the method further comprises:

Collect the target parameter values corresponding to each spectrum in the full spectrum scene;

According to the target parameter values corresponding to the respective spectra, a mapping relationship between the preset spectra and parameter values is determined or generated.
An image processing method, comprising:

S10: Acquiring preset data of the shooting picture;

S20: Based on the preset data, determine or generate a target parameter value corresponding to the shooting environment corresponding to the shooting picture;

S30: Based on the target parameter value, perform preset processing on the shooting picture corresponding to the shooting environment.
The method according to claim 8, wherein said S20 comprises:

Determine or generate a target spectrum of the shooting environment based on the preset data;

The target parameter value is determined or generated based on the target spectrum of the shooting environment.
The method according to claim 9, wherein said determining or generating the target spectrum of said shooting environment based on said preset data comprises:

determining or generating a preset parameter value corresponding to a target gray pixel in the original data in the preset data based on the gray pixels in the compressed image in the preset data;

Based on the preset parameter value corresponding to the target gray pixel, determine or generate the target spectrum of the shooting environment.
The method according to claim 10, wherein the preset parameter value corresponding to the target gray pixel in the original data in the preset data is determined or generated based on the gray pixels in the compressed image in the preset data ,include:

determining or generating the position of the target gray pixel in the original data based on the gray pixels in the compressed image;

Based on the position of the target gray pixel in the original data, a preset parameter value corresponding to the target gray pixel is determined.
The method according to claim 11, wherein the determining or generating the position of the target gray pixel in the original data based on the gray pixels in the compressed image comprises:

determining a size ratio between the original data and the compressed image according to the size of the original data and the size of the compressed image;

Determine or generate the position of the target gray pixel in the original data according to the position of the gray pixel in the compressed image and the size ratio.
The method according to any one of claims 9 to 12, wherein the determining or generating the target parameter value based on the target spectrum of the shooting environment includes:

Determine or generate at least one parameter value corresponding to the target spectrum based on a preset mapping relationship between the spectrum and the parameter value;

The target parameter value is determined or generated from the at least one parameter value.
The method according to claim 13, wherein said determining or generating said target parameter value from said at least one parameter value according to said target shooting brightness comprises:

Determine or generate a parameter value corresponding to the target shooting brightness from the at least one parameter value based on a preset mapping relationship between shooting brightness and parameter values;

The parameter value corresponding to the target shooting brightness is determined as the target parameter value.
An intelligent terminal, wherein, the intelligent terminal includes: a memory, a processor, optionally, an image processing method program is stored in the memory, and when the image processing method program is executed by the processor, the following claims are realized: 1. The steps of the image processing method.
A computer-readable storage medium, wherein a computer program is stored on the readable storage medium, and when the computer program is executed by a processor, the steps of the image processing method according to claim 1 are implemented.